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Qualifications: Required Qualifications • BS or MS in Information Technology, Computer Science, Artificial Intelligence, Data Science, or related field • Proven experience with networking systems, computer
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interest in data/AI). ▪ Demonstrated interest in artificial intelligence, data science, or analytics. ▪ Basic proficiency in programming languages (Python, R, or equivalent) preferred but not required
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health (including artificial intelligence, data science, cybersecurity, regulatory science), and law, policy, community development and engagement to support integrative health. Of special interest
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experience in the advertising/public relations industry, including but not limited to persuasive content strategy, social digital media campaign management, E-commerce, Artificial Intelligence, writing
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advancements in finance. The department has a growing emphasis on alternative investments and artificial intelligence, in addition to longstanding focus areas of interest. The Department emphasizes experiential
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.). In addition, experience with artificial intelligence and machine learning, including developing and applying models as well as understanding their benefits and limitations in industry, teaching, and
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related areas Evidence of technical expertise in learner experience design (LXD), developing immersive and artificial intelligence applications, and learning analytics dashboards Evidence of successful
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Python AND R Experience with Linear Mixed Models Experience with Artificial Intelligence Expertise working in Big Data Familiarity with LaTeX Experience with agricultural and plant breeding data Additional
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) The search committee seeks power and energy expertise as a primary qualification, but candidates with research interests in cybersecurity and/or artificial intelligence/machine learning as applied to electric